Literature DB >> 1530161

Recognition accuracy of current operating room alarms.

R G Loeb1, B R Jones, R A Leonard, K Behrman.   

Abstract

This prospective study was performed to determine whether anesthesia clinicians (i.e., both anesthesiologists and nurse anesthetists) can identify operating room alarms by their distinctive sounds and to identify factors related to alarm recognition accuracy. Nineteen alarms from 15 commonly used devices were recorded. These sounds were played, in a quiet room, to 44 anesthesia clinicians. The clinicians were asked to choose from a list the device that produced the alarm. After this recognition test, the clinicians rated the importance of each alarm and the frequency with which they heard it in the clinical situation. Clinicians correctly identified the alarm source 34% of the time. The recognition rate was higher for alarms rated as heard more frequently; however, alarms that were rated as more important were less likely to be correctly identified. Complexity of the sound did not influence accuracy of recognition. Most errors were attributed to similarities in sound or function, or both, among alarms. We conclude that anesthetists cannot reliably identify current operating room alarms by their distinctive sounds.

Mesh:

Year:  1992        PMID: 1530161     DOI: 10.1213/00000539-199210000-00006

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  5 in total

1.  Technologies and solutions for data display in the operating room.

Authors:  Noemi Bitterman
Journal:  J Clin Monit Comput       Date:  2006-05-11       Impact factor: 2.502

2.  Development of an alarm sound database and simulator.

Authors:  Akihiro Takeuchi; Minoru Hirose; Toshiro Shinbo; Megumi Imai; Noritaka Mamorita; Noriaki Ikeda
Journal:  J Clin Monit Comput       Date:  2006-08-29       Impact factor: 2.502

3.  A new paradigm for the design of audible alarms that convey urgency information.

Authors:  Richard R McNeer; Jorge Bohórquez; Ozcan Ozdamar; Albert J Varon; Paul Barach
Journal:  J Clin Monit Comput       Date:  2007-11-01       Impact factor: 2.502

4.  An expert system for monitor alarm integration.

Authors:  C Oberli; J Urzua; C Saez; M Guarini; A Ciprianio; B Garayar; G Lema; R Canessa; C Sacco; M Irarrazaval
Journal:  J Clin Monit Comput       Date:  1999-01       Impact factor: 2.502

5.  Development and Validation of an Algorithm for the Identification of Audible Medical Alarms.

Authors:  Paul Potnuru; Richard H Epstein; Richard McNeer; Christopher Bennett
Journal:  Cureus       Date:  2020-11-18
  5 in total

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